29 AI Engineer jobs in Australia available for remote work from home. Apply for positions such as Senior AI Engineer, Principal AI Engineer - Platform & Inference, Applied AI Engineer - ANZ and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design, build, and deploy AI systems and agentic solutions to solve customer problems and improve business outcomes. You will also collaborate with cross-functional teams to experiment with prototypes and ensure the reliability and observability of AI models in production.
The Principal AI Engineer will lead the architecture and engineering standards for AI platforms, model serving, and inference systems. They will design scalable, secure, and production-grade services while driving improvements in performance, reliability, and infrastructure efficiency.
You will embed with enterprise engineering teams to drive the adoption of Devin by architecting agentic workflows and providing hands-on technical guidance. Additionally, you will quantify impact through productivity metrics and help scale field learnings into repeatable playbooks for global use.
You will embed with strategic customers to prototype and operationalize full-stack AI applications while advising leaders on AI strategy. Additionally, you will codify successful solution patterns into repeatable architectures and mentor internal teams to scale AI impact.
Design and develop CFD and aerodynamics tasks to evaluate the engineering reasoning capabilities of AI models. Create deterministic scoring checkers and verified reference solutions to ensure technical accuracy and objective evaluation of AI responses.
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Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to create stable, secure, and high-performance financial service flows.
Build and ship mobile features for Android and iOS to create an AI Finance Agent. Collaborate with product and design teams to turn complex financial journeys into intuitive mobile experiences.
Build and ship native Android features for an AI Finance Agent using Kotlin and Jetpack Compose. Collaborate with product and design teams to simplify complex financial user journeys and optimize app performance.
Define the strategic direction and security frameworks for AI systems at scale, including the design of controls for training pipelines and inference endpoints. Lead research into emerging AI threats and establish organization-wide security standards and best practices.
Build AI-native systems, agents, and automation workflows to optimize financial services and internal operations for a Neobank app. Design and implement scalable AI solutions while managing constraints like accuracy, latency, and security.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and savings. Design reliable financial infrastructure for transactions, partner integrations, and regulated financial products.
Build AI-native systems, agents, and automated workflows to improve financial services and internal operations for a Neobank app. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build end-to-end customer-facing and internal product features for an AI Neobank app. Develop web flows, backend APIs, and operational systems while collaborating with product and design teams to launch quickly.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to simplify complex financial user journeys and optimize app performance.
Design, build, and operationalize enterprise AI solutions, focusing on Agentic AI and GenAI workloads on Azure. Responsibilities include developing RAG pipelines, implementing MLOps, and leading technical workshops for clients.
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Design, build, and operationalize enterprise AI solutions, focusing on Agentic AI and GenAI workloads on Azure. Responsibilities include developing RAG pipelines, implementing MLOps, and leading technical workshops for clients.
The role involves developing, configuring, deploying, and optimizing state-of-the-art AI agents using LLMs, while building seamless integrations with external enterprise systems like APIs and CRMs. This engineer will also collaborate closely with customers to gather requirements, provide technical guidance, and ensure high-impact, cost-effective AI agent deployments.
The engineer will own the inference backbone for QVAC's local AI stack, focusing on the C++ systems layer to ensure models run fast, reliably, and predictably on user hardware. Responsibilities include porting and enhancing inference engines like llama.cpp and ONNX to run efficiently on edge devices, focusing on runtime stability and performance.
Primary responsibilities involve deploying, managing, and maintaining AI/HPC infrastructure in Linux-based environments for customers, acting as the domain expert during planning and implementation phases. This role also requires creating handover documentation, performing knowledge transfers, and providing feedback to internal teams regarding bugs and improvements.
You will lead the deployment, commissioning, and tuning of AI-powered control systems for industrial data center customers. Additionally, you will act as a technical expert, collaborating with data scientists and product teams to define requirements and provide ongoing support for deployed solutions.
Partner with mortgage operations leadership to design, develop, and deploy AI-enabled workflow solutions that improve operational efficiency and scalability. Translate complex business needs into production-ready technical solutions using a platform-first delivery approach.
Design physical objects for 3D printing using open-source CAD software while having your workflow captured to train AI models. Write and execute Python validation scripts to support your engineering design tasks.
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Design physical objects using open-source CAD software while having your engineering workflow captured to train AI models. Write and execute Python validation scripts to support your design tasks across varying levels of complexity.
Design physical objects for 3D printing using open-source CAD software while having your workflow captured to train AI models. Write and execute Python validation scripts to support your engineering design tasks.
Lead the identification and implementation of AI-forward technology solutions to accelerate impact across a global education network. Manage a team of engineers and specialists to develop strategies that increase organizational effectiveness and network efficiency.
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